Andrew Feldman is the CEO of Cerebras. He explains why Cerebras' wafer-scale architecture enables much faster AI token generation than traditional GPUs.
Assertion Not checkable as stated
Feldman: Nvidia CUDA lost 70% of frontier AI model training market share
“I think two years ago every state of the art model was trained in a Cuda flow. And right now, Gemini is trained without Cuda. Anthropical is trained without Cuda. Open AI as strange as could. So in a one or two year period, they lost 70% share. Of training mod…”
Opinion
Feldman: AI is causing irreparable damage to the SaaS business model
“I think the business of dashboarding and the business, the AI doesn't the damages doing the SAS is, I think, unreparable. You could ask your AI, build me a tool like Salesforce. 30 seconds later, you have a working tool.”
Assertion Contradicted
Feldman: Cerebras sales were 10x higher than Groq's at acquisition
“And we were the fastest at it, and the largest, and, you know, our sales were more than 10 times the Grox, and they paid twenty billion dollars for the number two collector.”
Disclosure
Feldman: Cerebras signed an OpenAI compute deal worth over $20 billion
“Remember, we did a huge deal. This is probably the largest deals in Silicon Valley history north of twenty billion dollars.”
Opinion
Feldman: Chinese open-source AI models trail GPT, Anthropic, and Gemini
“They are behind in chips. But their approach was at the next level is open source models where they're producing some extraordinary models. Not as good as GPT or Anthropic or Google's Gemini, but very good.”
Assertion Not checkable as stated
Feldman: Agentic AI workflows are driving CPU demand through the roof
“And so, as we do more and more AI work, and more and more agentic work, we're making more and more calls to CPUs, and therefore the demand for CPUs is through the roof.”